Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications.
Honglin XiangYang YangGang HeJingfei HuangDazhong HePublished in: IEEE Wirel. Commun. Lett. (2022)
Keyphrases
- resource allocation
- power control
- resource management
- reinforcement learning
- multi agent
- resource allocation problems
- communication systems
- power consumption
- intelligent agents
- state space
- allocation problems
- scarce resources
- multi agent systems
- cooperative
- energy efficient
- reinforcement learning algorithms
- learning agents
- markov decision processes
- resource allocation and scheduling
- learning algorithm
- real time
- communication networks
- end to end
- cognitive radio
- autonomous agents
- multiagent systems
- optimal policy
- distributed resource allocation
- multi hop
- power management
- energy consumption
- computer simulation
- resource allocation decisions